{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'tensorflow'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-2-543bf5486134>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mfidutils\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mvis\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mfiy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.83\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;31m# transform INC to IND\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/run/user/1000/gvfs/sftp:host=hawk/publicwork/ramsauer/GANs/FIDvsINC/fidutils.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmath\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mrandom\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mtensorflow\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mscipy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstats\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mst\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'tensorflow'"
     ]
    }
   ],
   "source": [
    "import fidutils as vis\n",
    "\n",
    "fiy=0.83\n",
    "\n",
    "# transform INC to IND\n",
    "class fd:\n",
    "    def __init__(self):\n",
    "        self.ul=0\n",
    "    def __call__(self,x):\n",
    "        return ul-x\n",
    "    def set_upper_limit(ul):\n",
    "        self.ul=ul"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gn_001: {'alpha': 0.0}\n"
     ]
    },
    {
     "data": {
      "image/png": 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mRCpcf5EY+hbV0ljmVGZ6bNs7kk62PSNHDFdXX0bp9Yq4uLb9+vcvvq7WzUNy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\nGRSrx7gzAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2fb0ea49e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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BrHHJahpjUZF4z3XyrTtdC9unqEkkLL7Fp1tTDknf/qT+Tho0VEV1UaTUvzON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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2fb0e284e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Er = vis.Experiment_reader()\n",
    "pth = \"out/gn\"\n",
    "Er.set_path(pth)\n",
    "Er.read_all_expriemts()\n",
    "ank=1.0/8\n",
    "ul = Er.get_data(\"Inc\")['gn_001'][0].max()\n",
    "def fd(x):\n",
    "    return ul-x\n",
    "Er.print_param_description(0)\n",
    "ank=1.0/8\n",
    "# plot IND\n",
    "Er.annotated_plot2(0,'Inc', zoom=0.8, pad=0, max_hight=3, xybox=None, fd=fd,\n",
    "                   figposx=[ank,3*ank,5*ank,7*ank], \n",
    "                   figposy=[fiy,fiy,fiy,fiy], xlim=[-0.5,3.5], ylim=[0,16],\n",
    "                  ylabel=\"IND\", add_points=True)\n",
    "# plot FID\n",
    "Er.annotated_plot2(0,'Fid', zoom=0.8, pad=0, max_hight=300, xybox=None,\n",
    "                  figposx=[ank,3*ank,5*ank,7*ank], figposy=[fiy,fiy,fiy,fiy], xlim=[-0.5,3.5], ylim=[0,500], ylabel=\"FID\", add_points=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sp_001: {'alpha': 0.0}\n"
     ]
    },
    {
     "data": {
      "image/png": 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csmae2bn53GvPLN5P+VfgTdPeyzL7nGPxpvkl/P+NycuXrPkY7Y3Jr3fPL6e9+XyY2bj5\n3GfP53TrPzDtfazFfpesuZ0Zv/k89QFeTw8W31t9FDgEPDLyP78B8KWRdX/B4g3IBeDPx3ydWQrD\nivfM4m9kBfwQeKp7fHTae3qNvf4p8GMW/3Ll1u7cHcD7u+e/w+JfpCwA3wXeMfK5t3afd5Az9C+v\nJrln4K+B/x75uT4FnD/t/azmz3jka8x8GPyXz5Kkhn+VJElqGAZJUsMwSJIahkGS1DAMkqSGYZAk\nNQyDJKlhGCRJjf8FFDYZsBaypoYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2fb1236b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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v/gYA6NSWZLNuy7qIvrdre6Z9bI3VkLHaPlZ5er30W1r7038jnjd0iNIcysvzeMZnZfKs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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2fb1203160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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FY9HZYC9aKRCHltbeGY48c3ZsdNts81k7k4NU1fi0STAJL5WNz9sfmgYAuHfU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\nBEFlwmgEQRAElXkXzpNMPT8BlEQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2fb107c128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Er = vis.Experiment_reader()\n",
    "pth = \"out/sp\"\n",
    "Er.set_path(pth)\n",
    "Er.read_all_expriemts()\n",
    "ank=1.0/8\n",
    "ul = Er.get_data(\"Inc\")['sp_001'][0].max()\n",
    "def fd(x):\n",
    "    return ul-x\n",
    "Er.print_param_description(0)\n",
    "ank=1.0/8\n",
    "Er.annotated_plot2(0,'Inc', zoom=0.8, pad=0, max_hight=3, xybox=None, fd=fd,\n",
    "                   figposx=[ank,3*ank,5*ank,7*ank], figposy=[fiy,fiy,fiy,fiy], xlim=[-0.5,3.5], ylim=[0,16],\n",
    "                  ylabel=\"IND\", add_points=True)\n",
    "Er.annotated_plot2(0,'Fid', zoom=0.8, pad=0, max_hight=300, xybox=None,\n",
    "                   figposx=[ank,3*ank,5*ank,7*ank], figposy=[fiy,fiy,fiy,fiy], xlim=[-0.5,3.5], ylim=[0,650], ylabel=\"FID\", add_points=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "blur_001: {'alpha': 0.0}\n",
      "# DEBUG:::len(data) = 4\n",
      "# DEBUG:::len(imgs) = 4\n",
      "# DEBUG:::len(data) = 4\n",
      "# DEBUG:::len(data) = 4\n",
      "# DEBUG:::mi-0.1*r = -0.960127735138\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f607a702a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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b2ANbF2GUqb3yps8RloPdl+/fGveYKsKem7wc7k7sDud1XxI9e722QJNLlTFrQbs+B5ON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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f607a5bbcc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# DEBUG:::len(data) = 4\n",
      "# DEBUG:::len(imgs) = 4\n",
      "# DEBUG:::len(data) = 4\n",
      "# DEBUG:::len(data) = 4\n",
      "# DEBUG:::mi-0.1*r = -28.3580941916\n"
     ]
    },
    {
     "data": {
      "image/png": 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S16voM5Yt9do+9N53AQD+392/AAA898JL3j67kub5dA51u4jpVE6vznmRJuty\nZwc+wB5B0ayCeWp2vgqx0bIpJu3U1+nvW7WoLT4FOJ2pYhHwfOWcN5JGgUWJ51DepXF4SN9LKsUj\nlPXqjqdu5jWJZ5r04qd0zPfamhq19LOz80DJvdoVn60dDfhdbgdNzq1khuW6srpsuzLmaZkKtshQ\nmVxVcCtRXpTGShp2hRwNuFVeCHqbebyCrzWDASM9sqjs4hiyRtoUDcpnS++fj2GMPS/reslzO9mV\nos2VxOvbW0mDR20TW1laGSLHRLesOY+NvOYR2NmstZu4++DR9NZ1NMZSb9s+18R0n+NRtvI1trYo\ni6oPlXEB5c+sOLa/KwC/VOlsFuVtBna8ec1sK+U7iab8u4OSveVzo7lU86Vdts8iHOL9K7Vf+CUN\n3f9az95ROtbljgeAmNkf8dWJF0lDEARBGEdk0hAEQRAqZtqqp3q6tQGcG/KsKyuvtFfMO3F+wdzZ\nAID3vP1ir+2Uk7RqZfnppwMA1m/Y5O2bM0tXcvvTqz/itW3ZttXb3vDSFgDA4OCw15bJaHWYTW+e\nyjpx2vaKJ6nLMtE1bFx8I/XODbRjke6fVWMFA8x90awJwsTdWrn4rj+pyC2b5SOYbe1lXsnMGpW5\nSqGJRfcu6dDp2s9avsxrq68zEcFG1TY45MbGitdLOuZ5bVFmGOwzCRL7B1169mTSjqe+x5GkU6ck\nhnSfh1ndaG5HtS6i9Szp2wwTsVxvXBV9qhNbh9xXU5ypIuy2z1hb3kXUptzmKg9rSPa7Sbrnb50d\nGup4gj99DzYpn6+qn3EE4BHHYaaKszZZns7eprkfMdXuhoZdMsohY7znCQS56tX2Ncr6bI3ituJc\njL3PVk0SCnCXbO5PbNU9rikwhnbKc2pgqiardszHuErKPQ/ralvglTrLuOmWUt7RoXwNe9tWqtqD\n9/fDkhQy9VSdUU9xFZR1w/U+fWNtxtgXVc72m3buYizqKUEQBGFcmbaShg2Ei7IaueGwrbHtVhZB\nZvj9wPveDgA4/5wzvDY778+arXMRBVnw3KxWXUTm7De6uttvOtutqi8+dDYAIDHg3EoTgyaHU7eu\nI51hksbWHdqI/siTL3ptWZ7W2hhY58xs9pqWLl4AAKgxgWUplpsnELRp2J1LME+FrKzxlOW3Gp0r\nx2u37qtsZWJXSLyYzCzmFHDGadpd2ebFAlyw2/4uncOqZYa7l1mtepV/zgrniNDe7lJpDxunhQEm\naQyPaKcA68La2+dcgrft0jXQt7x20GsbGHJjEbDBaMwt0Ra1sYbGSIhLZjYhE8+vxbZNkCMxxwOo\n8pKGldLCzChp3S2jbKXIA7WlHsWqAAAgAElEQVTam7V7dRNzFLCGX+u6yyUN6w5bU8OMpcxIGjJG\nbB4QZ4sZJYb0WPcOOEmwp1dv9w865xG2SEc8Zla6LHV/xFzDGpt57J59lQJMfCC+jDWSRsDnyFB+\nPMsVLMpbozf7ToS9v9YJo+hb/vsN4L6SXmUTfPHcdWUkDTO2doz99e31Z7lCVoCTMHyShpXmykgN\n3lj7nBNcZ+27zKWxUGiKSBpEFCSi54noV+b3DiJ6moi2E9GPiShi2qPm9+1m/6Jq9FcQBEHQVEs9\n9WkAvKDoPwO4VSm1GEA/gGtN+7UA+k37reY4QRAEoUpMuHqKiOYBeBeAfwTwWdJy+sUArjKH3AXg\nywC+DeBysw0APwVwGxGRKucwPYpoXIttPO1ypE+rMtIZp6JYttCpRy65WKuT6uJMvDQxAcqaqZUT\n709eoA22zXUsroKNaGyJVtUUck6dUBjV9Qi58617cicA4A/rnbF9JOtiMoIRLeJmC+58mbRWGQSh\n1Ri1EaeOK8b0tTJM/URMPxCKGpVB0qlT8mPk9onFStNe2whTbmjtWDjT2z7tFG2kXzjPjfHAgFYf\nWQNpfa2rcjenvQUAcNKCVq9twbwW1zejnkuy5+cMwPrzYJdTXdkcO919Tj2YzLrvhoxKj6uYbK4x\nMpXKg8yJgEwchgqMEYdh1CzExjBQzkEfzmjJ1UVWFcVtky0z3LO2adptunHTYX1fxnDNq9RZNUVj\ng3sneH1z2wcewW7VU/0m8v9QT+nxvG59ksXtWONsNMJVmPqTbLp7prpTtho810n5ipx7+dnZ/vJ/\n+lETG5LPu/G0aimeSy7P/kBtxT5/7I69pv7w2eU99VT5PtjzFNgzz3vqKZsBwu2z/wt4frJQiDsW\n6Huxaj8AiEZtviqbVr3UscWvAmR5t4x6NchLFYzlWXAYqiFpfB3A5+DcSloADCil7H/eTgBzzfZc\nAHsBwOxPmON9ENF149lhQRAEQTOhkgYRvRtAl1LqOSK66HidVyl1BxF9h7fVmtnZRiADQJC6AbhZ\nGgDe/fbV3vbik/UqeaR7v9dmDVmJPu3Cy7PILlu2BAAQd4tBFFiEOczmIMuvFDG5pGqNm2e24HJj\nDST2mWu6tla20owayaC/xxVC2rZTR1afsURnuy3k3XcLxsieg5M0mDev15cYizDmGUU5jUZi44ZZ\nW5+4scG1LemY5W0vnKdXxvV1brwHBnRflMnuyyOEZ5gcVU0N3O3Q9cFmV+W5igC9bQ2MIbZyam3R\n52lqckuvNFuJhkN6u1h045MwhaWGU1rCm1HgeZFMXqKyhlPAW57yxfIYy7I6O3ZMEg6QdZF1X2pr\ndkWL2lutO7Abb/u8rKE5my1dlTY3umvMaOIFevT988V9xkgq9fVR0xeet8rmsnL3zF1yQ0HrcuvG\n265ubX1zXlQsb8Y9X8YNFXACiO+NHEPJYKPQedEqK7FxYzHPIKy8yH0uafi7QT5JQ5W0qTIR40Wf\npGFyglmJI8+l+tJ74UbxaNi617JnaiUMY9T21QML2v6xAeXb3jqdOWqMITUdjolWT60G8F4iugxA\nDEADgG8AaCKikJEm5gHYZ47fB2A+gE4iCgFoBNA7wX0WBEEQDBOqnlJK/Y1Sap5SahGAjwJ4WCn1\nMQCPAPiQOezjAO4z2780v8Psf7gSe4YgCIIwPkyWOI3PA7iHiL4C4HkA3zXt3wXwX0S0HUAf9ERT\nEW1t2vja3uz8/G02uwVz272mlae5GIvUYBcAIJ9zvunptBblug9qX/94iKlOGrTYny6wQjopZ7gu\nZM2xzDhZW6tVMBGbg5w9gVBUX6uuxomP569ycR8zW3WsyL33/t5r27T5NQDAm887DQAQDbjrKyPf\n58YwbmcymZI2XgCK0zJDq/lmsBiBGQ3aIDt7ZqPXtmCWi9NoNMkUSbGI7Lw2RJNRV/CYhLjxRw+w\nXO5cdWSla2bH8+JOisbYGYu5dVB9nd43s80ZjuvrecGfqOmL+07/gFZPdZvU7c0t7vh4sNRwXLZe\neflQFx82cj6Tdn2zfvTckMzVUy2NJl07c0bIZo0xt2jTyrtr2MhsHqdhVVIAUFert4PMUJzLm2dm\nupBl+sykeV+yPKEme37WoBuPu3fIGsBz5jmm8+6dy+R0v0JhHmHt7p28wkVHXifaZHwBdqyNRyjk\nmfFbHT6GZrQKinzR/66X7CRsy8ZilBrCc2bMeHJImxWAR7zz1P02kSFX94XNu2ELv/kN2VZ9WE4F\nBxSNetcXYT+Go8bhqNqkoZRaB2Cd2X4NwDlljkkD+PCEdkwQBEEYE0kjIgiCIFTMZFFPHXfajDqF\ne6fYiPnFi1x9h1ktTt3S323STbA0IwXjbTN3llZ3MccVL10Ey6SAEVYfIVzQF2yY4dQ3VnS1dQ+K\nEScezpql1U+LT17gtS07eY63vfpsHUfy0sbXvLbNW/X2nm6tUjtjKbuWqecRLLBqZUy1YGsH8ASJ\nhYKLY+BY9VRLk1OX2DGe0+biMNpYlb6YvSyrg2595q2apCbG1BtGlZFhSSRTWZYSwSYMDPCke34V\nBk+LUFenHxavdxJm9SliUf1u9PQMem0jRgVzqF+rqWan3HiGTAwMHY16agzVio21yGadusaq6mJM\nPdXc4NRXjeZ+eE3pdEA/O1v1j6tLQsbziZd9J6bbsyoorp6y6qGIUYlwVVN9nVbnpTNMxcf0YVbt\nwZPkeWouUws+xWJskhmThibE65pzz6vSSoFjZLnx6lDwrBheQkJeZEWV83wrTUBJh40RKa+eKqpy\n6ilb70X3Jcf+/mxboUyNF8AlE4zytCCjvKb8MUYmKSJTSRUU+3sv2k/uXTVF0ogIgiAIU5NpK2nY\ntMuzzeodAGY06lVwx3wnaTRGnSSSK+jVUAHOWBgwdbbPOUenRn/wN095+/r6dNxHX787PjXiZvma\nmJ7Ro6ySmV1T5IzhMsxqiodNDEiI3PHzZzpJY9EcvaJ/z7vP89r+/fv3AwCe3qBTsi9Z5PbZNdvI\nsEvix1eV4aC+Tt0MNwZZ5gTAsdX0WpjUNNNEKM9qcSv5GXVO0gib++DV1KwjQJupbd7P0sbnjIQx\nlHSr0VicV7HTn1G2dC7Y1ZVZ5ub5Ss2kNW+oc6v15ibnGNHUpJ8tTz9+oEsnjTxk4nJ6Btzxtly7\nL8cbWyXalSGXdgjlJY0ak/68PsMN4caQzAyfjSxQxaZM56t7uzLNGAk3z1aZ1khaYKvrHItTyJoV\neJGtNr0Eezbega3srdG7tta970F2r3YBy9OlW6cG+7eVZM4XsbSRNIJM0iiy+tU2yeFYAeMMm2GA\nR38XjYTNz+mXEkrToLvnVRqTUq6NJ1B0kgZb6ZvqkTkjIYTyLDrdRon76tq7TRuzweN2QqMN4GWy\nGRSLXJtAbNv8jQT4d0TSEARBEMYRmTQEQRCEipm26qmGBq16mD/PVYFrMfUI5rQ7lRXybt4MGLVU\ngc2l0bg2/M6do0W/BfOd0Xfn7r0AgFNOc+fLZZkfuIm7CLDUCTbFQCqlYzuaIy453yFTbTA17GIt\nauLO6Njfpw31py5zqToWmCp3z23SSYNXneHUWS111gjHxWUnmtoYh7kRd750lpv1HSGj6omz/ljj\neCuLhamJuv0Bq55iqRHicb3d3KK/W9ftUqJkjEE+McLUU7VOVZc3qqC0z5CnxW+bkqF/mBlaTfI9\n7sturw8AjfUhc102xsOmOqCpKHiApWyJmecZY2kpOFZtFGHqrsAYy7KwcbTnaVQiRrXCq7HVsaqC\nNTGtngpwFYy5tWhUj1224Jwa8kZNwVVSqSyLewnYBHZcZWLeTzN2aV7l0qhneGxGgNUbsaoVXpPF\nqpZypi/cED6SMoZupi4pMFWSVcsEmSV8LLutTSNSCHJ1memnz/hdzhBe2mbVTtyoXM7QrBRT/5gK\nmEzbhrw1WJs/K/4+BIzqqDhGrASZm+UqN/us3DhwVZlVd/Hnya9nk0Yy9ZQaQ993GETSEARBECpm\n2koafSN6hfTM85u9tvmztBF26WInLSTSbuVjV21BZmhM9umVpgroldfZ56z09j3+rD73BWzxxjxS\n0devJYfEiIsYH7GutmapkGJpzl/c9BIAYN4il2SxEHEJCHce0IkUG+LO8Lxi+UkAgMeeXA8A6Bly\n7qM1JiKa2cKQzbmVeyFnjJIDXV5bivWV05fQxvQ0qwxXV6tXvs3MzTbCVs4K+lpFxY3T+tOmrG9g\nLqW9pqohlzRq087oalerfGGWyZmVsUmNPphwRv+EqfDHDa3BsJOkKKjvv67O9a+hUV9vcEjv6x9y\nqdZnDOvO1zI3VKhSF8kwk17HWhnbe7BJ/gBnCK9j6dJrmWTnRT2zc46WNLgkkTdSI4/gprRbmVpJ\nhEch50zlx5R5zraWPeAq3QWY226UGcJtnW7+vO19Fo3rZybn+pdMW/dRHlXNKu8VbbU/d77AGJZw\nW7GvyCQN5bnvjpVgsliy30kY1sGCOQmo0vevUCr0onAYN13+PpQbL949+1x4HW87Fk565ob4UkmD\n988awn0JDcUQLgiCIIwnMmkIgiAIFTNt1VPbd+js6r9//Dmv7Z1vXQHAr07Jpp24HDTJCCMxFzuh\nTH0MMuLg6acv9fY9/PhGAMDezm6vreUMbhTXon0662TOnoQ+X3efVsVsTu/19qVMssOzVp7G+sTl\nS3sep745dZk2hG/ZvgMAsHPnQW/fonmL9XmzTsWSzrOqXSaiPZV0hneWW9HH3s5DAIDhIae+snUa\nZrDYjVjcxRUETT0ArlEIGfm71qi26pl6yiYJTAy6a9ikgwCQM/EL6Ywbk74BfWxv/7C5F/ddW32v\nidWQiMRYZ0w0dYy1NTfqfmWNaieVcu/HiNkOMeOvL1jZdCvnLwCBcljnhCCvn2CMuTVx9/7FY7xy\nnlFbEVcxmXoa5ru+hJM54yTAkuTxZHa5fKkh1t532qj7eASzNQTzOJRImKtOShPi5c37pmwcDTtf\nJuuvDQH4jeJWvcTVU2PFaUSMeorHTbgYGq5DKo3m5t9xxmT76Y4OmL8/ru7lCQ09tZSvCIcdn9Ja\nHPbRK6ZO8lVnsdUD2TsSCvij5H3JHM19KF+ciNtdsJUluawghnBBEARhPJm2ksbLL2oX1BgrbbXi\nDJ27KRpy1upInVtJ2kp2wSBz8zSGO2sbn8XSgBeNK+2OrU5amN/ijJiDCR1dXFvj6mYPdOuV8MMP\nPauvBbcyvvhinei3pdm54eYzbukfs50IuD7PMC6pJ8/VEsf+3c5FNLvKHM8M9SG20oxErOWOrVbG\nSKPe36urD0ZZavhZbdpVt63FSVf1PNdXyFa6Yy6KZjleY4y6NsoZcIvA4UEn+Qyyyn1Fk68qmXSr\n1UP7taPA/oO6NhexGtQz27VDQS27RoStxG0a7SBb6TaYaySMi3E25c6XHNbPojbm3o9ImBtpzUqO\nDWFxjPIvZNrDrD82f1KcSRoxJmnYWuyKrZzDpp+RsP1kEdUZkxqcrzZzPDV3aTU5G1luJY4iW4Vb\nCSsc5NIRqzlv09QzUSNr+poz11Xs/SoYo7vLmwWwLOasvnUFkkbIjo0vXN98u3yuKC/Cm91jway8\nbRn4APvb8Fb1rI1fz0aKqzLXs6v7AHMftgbwI5UI4t+x29YN2T8eVnIqH7Fu3wN/qnmRNARBEIRx\nZNpKGkP9esX9vve+w2s776yzAADRsFt6K3IuhTbYLc0CkEJJPURBMkPFXE7bW/VKtvegs2kc2Ofc\nZSPmOrmg+86ubVoqSQ/qto4OJ1W0mSC5fMpdn3lkohjXq4Isc6skaDtAuwlmfLWvk/VF2zLmz2XL\n9Zhb1QWNK2qA5x7iwV8M6wbaxHI3zZujJY2mBmbTYHmT7JI7z+woQXMtu+KvY/XJrdSRTLJgSB4s\naTICF9lqOZ82bqPmMC5VNJk8WPUxd/8RJkXanvIsqnGzmo+Z/En9zEYynNDPpbne9Tkcdefjtg5L\nIV9ecoua6/CMtTUxfV4rcQBAmLl/2/eTL0w9N18znlzSsDWmFc9FVOT6e7NaZXptux207p4sj1Q0\nYgMS3T3zjLY2V1SRSRNkA+EKtlgUWwWbbS59+AwidruCLLdWCuODc6SiSfDylrnrW5NKOZuBKlhJ\ngj9T/r6rku9Yc0XRc6/lUoDf3jEWPjsIWZdb/6f/uPKShr2034YikoYgCIIwjsikIQiCIFSMTBqC\nIAhCxUxbm8Z5Z+v6F81zXDK+4SGdLiPNPIjyzKZh9Y15nqTN6GQDRa3HDTId4KUXvwkAsGe3q6Q3\nu815Ss02nlYHD7nUHo31Wl992TvfAgCYP9fZQOpNOosQ07uHIvwR5c1+p7cPmuqArXW6bWjIeU9t\n2vgqAGBe6xu9tkjc3bt1f4+EnQ4dkfI6zkXztYdUXb3zPGswnluKV9pLMn2uze/P3HcKpoIbGb1q\nXdzFacxq1eldhoZZUkEWp1FnPJsCrFZie6vW2dbXartFXZ2zN7Q015o+sziNKPf2sZ4tTO8bNh5S\nEW3LGGD69vSIflcKzM7Ca594BfeYjSA/Rh6R+lrdzzCzQdi6Hr64BfYdVbTePkxvbzZDxpc/GuL2\nBvtcS+s76PMY7yUWB2BtGMWCSTbJYiSs/SUWZ/fMvKesRw+345Ayf0u2Vg0bz5DVzzOlfcCnvzfn\nrUDtHvFsP2UqKXIdv0/fb7yXeGoPk+SQPA8pd3/OlsETVvK8H2bsWH+L5t6s7cDn2VTuHGXwmXTI\n/8mTOdpNPoZ+5yrFP0r6UykiaQiCIAgVM20ljYWLWgAAvUM9XtvB/XoVzv3os8pJFZ5XOF8dGu+D\n5lq9Ci6wBGYzGs0qeV6L1xblK3WzwJsxw0kTq9+0HAAQrzEr9oKTdOKmXjb3bojXuuh1r6Z31nn0\nxMyqO9iu+zl/Qbs73vjf87rDvCpcKqWjqHOsLnMqWb5G+Lw5NkkiW6kWdHLAYVYZ0Oet4fmtO+y3\nlRnHGJNy2kzq+toad41YxH3bVmeLx3mqcy1h2IUhjxuoMfEUkRivNMdWjnaVxdKJB4taampu0uOa\nTLp91kMnHOTSSmkacB6UHBjDO6XBSEQ8IjxkThDkHjvc88l6v/DVatF6wOnrcO8p64UV9KUe5/dv\no55Z0jvrIWSuEWAxGfb+eep3fxVBTT7oJBsyy3gyz5vHZNhb940nHw/rwTVWcAYjUsZ7CuXiJth+\n65xVLPMdu572x2GUSjNcirErfPYvAkVz/75Ide8sR1rlW0l47LZyEeY+aY1905NSfOMh3lOCIAjC\nOCKThiAIglAx01Y91VinVUcFVjUvb4LGiiwNQMRn1NKEw6zmhFEJZYyaIM8y+rXU6eFrjLv6HDmm\nbsobw1gk7q7RaIxpcdOWTLD6FBETJMdUDGFWW6F/QKuT8kzFEDQqmDjpfl361jPdjeT0cfE6Z2xG\nyKm2InGt+ioy42hdnTMac5oadHs67e4vZ5PaMUO3rwqZZ7TjAUh+NQJXPdTX6nuNRlwwHgXcuW2g\nWzTm1joxm3LD1kJh0rY13IYizNDPVCE2kV8xz8bTvA/NTSY5HVMV2q0aFkDIg+8Cpq9c3REcY1lm\nDeH+lA9e9JXXVvSlrEDpd0app3h/rDqP16soKq6eKjWsjzaM+tRnRgUU9N1zadqOfKCMesqsT/Ns\n/G0QHE/FEipTOyJYeokSvDQiPkNzuftjgXxGNcNVziXqKW4l97ZZvRRi91O01+CpQkYbzytTSfm2\nyqrPSlOkuASH7ugAU3VaVWkFsZKHRSQNQRAEoWLoWFyuJiNEpKbLvUwGiOiY3PGE8sh4Hl9kPMcX\nM75lBRGRNARBEISKkUlDEARBqBiZNARBEISKmTbeU7FY7BARzTzykUIlRKNRn9eT8PqQ8Ty+yHiO\nL7FY7NBY+6aNIdyyatUqtX79+mp3QxAEYUpBRM8ppVYd6ThRTwmCIAgVI5OGIAiCUDETOmkQUYyI\nniGijUT0MhHdZNo7iOhpItpORD8moohpj5rft5v9iyayv4IgCIKfiZY0MgAuVkotB7ACwDuI6DwA\n/wzgVqXUYgD9AK41x18LoN+032qOEwRBEKrEhE4aSjNsfg2bHwXgYgA/Ne13AXif2b7c/A6z/49I\nXCYEQRCqxoTbNIgoSEQvAOgCsBbADgADSimbaL8TwFyzPRfAXgAw+xMAWjAKIrqOiNYT0fru7u7x\nvgVBEIQTlgmfNJRSBaXUCgDzAJwD4JTjcM47lFKrlFKr2traXncfBUEQhPJUzXtKKTUA4BEA5wNo\nIiIbaDgPwD6zvQ/AfAAw+xsB9E5wVwVBEI6ZW2+9tdpdOK5MtPdUGxE1me04gEsBvAI9eXzIHPZx\nAPeZ7V+a32H2PyypbAVBmCp0dnbipptuwr59+4588BRhoiWN2QAeIaIXATwLYK1S6lcAPg/gs0S0\nHdpm8V1z/HcBtJj2zwL4wgT3VxAE4ZhZs2YNEokE1qxZU+2uHDcmNPeUUupFAGeWaX8N2r4xuj0N\n4MMT0DVBEITXzc0334wHHngAsZiu7mgljHvvvRePP/44ACCdTuOyyy7DF7/4xar18/UguacEQRCO\nEwMDA7j00ktxuP9Bq1atwtq1a9HU1DSBPTsykntKEARhgmlqasLatWux8qzy/3sn64RxNMikIQiC\ncBzpzgRR//4vITRjrq996dKlU37CAGTSEARBOG78fEMn3nvb49i+rxeBfBKhUAhLlixBKBTC4OAg\nRkZGqt3F141MGoIgCK+TdK6Az//0RXz23o1I5QqYve9RNESDuPHGG7Fp0ybceOONKBQKuP3226vd\n1dfNtKncJwiCUA1e6x7GX/xwA149OIRIKICb3/sGvPbQRrzr5oewfPlyAMAtt9yCq6++Gg8++GCV\ne/v6Ee8pQRCEY+T+jfvxhZ+9iJFsAR2ttbj9qpU4bU5Dtbt1TFTqPSWShiAIwlGSzhXwlV9vxg+e\n2gMAeNcbZ+OrHzgD9bFwlXs2/lQ8aZiU5JcCOA/ATNN8CMCTAB6S9B6CIJwI7O4dwfV3b8BL+wYR\nCQbwf959Kq4+byFOlKoNFU0aRHQmgHsALAZQANADgKBTfoQAbCWijyqlXhivjgqCIFSb/3npAP76\nJy9iKJPH/OY41lx1Fs6Y11jtbk0oR/SeIqKZAH4DIA3gMgD1Sqk5SqnZAOoBvAtAFsBviKh9PDsr\nCIJQDbL5Im66/2X82Q82YCiTx9tOm4lfffLNJ9yEAVQmaXwSQArAm5VSg3yHUioD4EEiehLACwBu\nADA1E6oIgiCUobM/ievvfh4b9w4gFCD8zWWn4k9XLzph1FGjqWTSeBuANaMnDI5SaoCIvg3gg5BJ\nQxCEacJDmw/hL3+yEYlUDnOb4vjWVWdi5YIZ1e5WValk0lgMYEMFxz0HneJcEARhSpMrFPGvv9mC\n7zz2GgDg4lPa8W8fXo4ZtZEq96z6VDJpNELX5j4SQwCmpoOyIAiC4UAihRvufh7P7e5HMED467cv\nw3VvPgmBwImpjhpNJZMGAajUnVZGVRCEKcu6LV347L0b0TeSxcyGKG67aiXOXtRc7W5NKiqN0/gN\nEeWP07kEQRAmFflCEV9/aBtue2Q7AODNS1rx9Y+sQEtdtMo9m3xU8o/+pnHvhSAIQpXoGkzjU/c8\nj6de60OAgM9cshTXv3WxqKPG4IiThlJKJg1BEKYlT2zvwafueQE9wxm01kXxzStX4IKTW6vdrUmN\nqJQEQTjhKBQVbnt4O77+u61QCjj/pBZ848oVaK+PVbtrk54jThpE9C9Hc0Kl1OeOvTuCIAjjS89w\nBjfe8wL+sL0HRMCnLl6MT1+yFEFRR1VEJZLGFajce0oBkElDEIRJydOv9eKTP3oeXUMZNNdG8PWP\nrMBblrZVu1tTikpsGosmoB+CIAjjRrGo8P8e24F/++1WFIoKZy+agW9duRKzGkUddbRUop76LYBP\nKqW2sLaLATytlJr6BW8FQZjW9I9k8dl7X8AjW7oBAH924cn4q7ctRSgo1a6PhUrUU5dAR4UDAIgo\nCGAtgLNRWXoRQRCEqvDc7j7ccPfzOJBIozEexq0fWY6LT5l55C8KY3Ks3lNiMRIEYdKilMJ3/7AT\nX33wVeSLCmcuaMJtV63E3KZ4tbs25RGXW0EQphWJZA5/9dONWLv5EADg2jd14PPvOAWRkKijjgeV\nThrlvKekvKsgCJOKjXsHcP3dG9DZn0J9LIR//fByvP0Ns6rdrWnF68k99bty+aiUUlK9TxCECUUp\nhe8/uRtf+fVm5AoKZ8xtxO1XrcSClppqd23aIbmnBEGY0gymc/ibn23CrzcdAAD8yfkL8XfvOhXR\nULDKPZueSO4pQRCmLC/vT+D6H27Art4k6qIhfPWDZ+Ddb5xT7W5Na8QQLgjClEMphbuf2YOb7t+M\nbL6IU2c3YM3HVqKjtbbaXZv2yKQhCMKUYiSTx9/+YhPue2E/AODKcxbgS+85DbGwqKMmApk0BEGY\nMmw5OIS/+OFz2NE9gng4iH/6wOl4/5nzqt2tEwqZNARBmBLcu34vvnjfS0jnilg6sw5rPrYSi9vr\nq92tE44JjXYhovlE9AgRbSail4no06a9mYjWEtE28znDtBMRfZOIthPRi0S0ciL7KwhC9UllC/ir\nn2zE5376ItK5Ij64ch7++/rVMmFUiYmWNPIA/lIptYGI6gE8R0RrAXwCwO+UUl8loi8A+AKAzwN4\nJ4Al5udcAN82n4IgnABs7xrG9T/cgC2HhhANBfAP7zsdV6yaX+1undBM6KShlDoA4IDZHiKiVwDM\nBXA5gIvMYXcBWAc9aVwO4PtKKQXgKSJqIqLZ5jyCIExj/vv5ffjbX2xCMlvASW21WPOxlThlVkO1\nu3XCUzWbBhEtAnAmgKcBzGQTwUEANg3lXAB72dc6TZtv0iCi6wBcBwALFiwYtz4LgjD+pHMF3HT/\nZvzomT0AgMtXzME/vmQHXMwAABgQSURBVP8M1EXFBDsZqMpTIKI6AD8DcKNSapDIJc1VSikiOqq8\nVkqpOwDcAQCrVq2SnFiCMEXZ2TOCv/jhBrxyYBCRUABfes9puOqcBeD/I4TqMuGTBhGFoSeMHyql\nfm6aD1m1ExHNBtBl2vcB4ArMeaZNEIRpxq9fPIDP/+xFDGfyWNhSg9uvWonT5zYe+YvChDLR3lME\n4LsAXlFKfY3t+iWAj5vtjwO4j7X/ifGiOg9AQuwZgjC9yOQL+NJ9L+H6uzdgOJPHZWfMwv2ffJNM\nGJOUiZY0VgP4YwCbiOgF0/a3AL4K4F4iuhbAbgBXmH0PALgMwHYASQDXTGx3BUEYT/b2JXH93Rvw\nYmcC4SDh7y47FR+/YJGooyYxE+099QeMXfXvj8ocrwBcP66dEgShKvz25YP4y59sxFA6j7lNcaz5\n2Eosn99U7W4JR0DcEQRBmFByhSL++cFX8R9/2AkAuOTUmfi3Dy9HY024yj0TKkEmDUEQJox9Aync\ncPcGPL9nAKEA4fPvOAX/680doo6aQsikIQjChPDIq134zL0vYCCZw+zGGG676kyctbC52t0SjhKZ\nNARBGFfyhSL+be1WfHvdDgDARcva8LUrVqC5NlLlngnHgkwagiCMGwcTaXzqR8/jmV19CBDwl29b\nhj+/8GQEAqKOmqrIpCEIwrjw2NZufObHL6B3JIv2+ii+deWZOPeklmp3S3idyKQhCMJxpVBU+Mbv\ntuFbD2+DUsCbFrfi6x9dgda6aLW7JhwHZNIQBOG40TWUxo33vIAndvSCCLjxkiX45MVLEBR11LRB\nJg1BEI4LT+zowafveQHdQxm01kXwjY+eidWLW6vdLeE4I5OGIAivi2JR4fZHtuPWh7aiqIBzO5rx\nrSvPRHtDrNpdE8YBmTQEQThmeocz+My9G/HY1m4AwA1vXYwbL1mCUHBCc6EKE4hMGoIgHBPP7urD\nJ+9+HgcH05hRE8atH1mBi5a1V7tbwjgjk4YgCEdFsahwx+9fwy2/2YJCUeGshTPwrSvPxJymeLW7\nJkwAMmkIglAxA8ks/vLejfjdq7pO2v9+y0n4q7cvQ1jUUScMMmkIglARz+/pxw13P499Ayk0xsP4\ntw8vxyWnzax2t4QJRiYNQRAOi1IK//n4Lnz1wVeQKygsn9+E2648E/Oba6rdNaEKiEwpCIKPW2+9\n1dtOpHL4sx88h3/41WbkCgrXrF6En/zv82XCOIERSUMQBI/Ozk7cdNNNuOKKK9Cn6vAXdz+HvX0p\n1EdD+JcPvRHvPGN2tbsoVBmZNARB8FizZg0SiQT+/O/+L16d+y5kC0W8YU4D1nxsJRa21Fa7e8Ik\nQCYNQTiBufnmm/HAAw8gFtPR23s79wEAHrzv5wjWP4qZDVH01IZw18Bl+OIXv1jNrgqTBFJKVbsP\nx5VVq1ap9evXV7sbgjAlGBgYwKWXXorD/c2sWrUKa9euRVNT0wT2TJhoiOg5pdSqIx0nhnBBOEFR\nSmFTdw5Lr/lnRGYtKXuMTBjCaEQ9JQgnGMlsHj/fsA/fe2IXtncNAwDmfewf0X/3X6P/wG7vuKVL\nl8qEIZQgk4YgnCB09ifxX0/uxj3P7kUilQMAzGyI4o/PW4gL5wbwth9mEAqF0NHRgZ07d2JwcBAj\nIyMyaQg+RD0lCNMYpRSe2dmHP//Bc3jLvzyC7zz2GhKpHFbMb8I3ProCf/j8xbjh4iX44Z3/jkKh\ngBtvvBGbNm3CjTfeiEKhgNtvv73atyBMMkTSEIRpSCZfwP0bD+DOx3fi5f2DAIBQgPDuN87GNasX\n4cwFM3zHNzQ0YO3atVi+fDkA4JZbbsHVV1+NBx98cML7LkxuxHtKEKYRXUNp/OCpPbj76d3oGc4C\nAJprI7jqnAW4+ryFmNUohZGE8lTqPSWShiBMA17sHMCdj+/Cr17cj1xBLwRPnd2Aa1YvwnuXz0Es\nHKxyD4XpgkwagjBFyRWK+J+XDuLOx3diw54BAECAgLe/YSauWd2BczuaQURV7qUw3ZBJQxCmGP0j\nWdz9zB784KndOJBIAwDqYyF89Oz5+JPzF0kyQWFckUlDEKYIWw4O4c7Hd+IXz+9DJl8EAJzUVotr\nLliED6ych9qo/DkL44+8ZYIwiSkUFR5+tQt3Pr4TT+zo9dovXNqGa1YvwluWtCEQEBWUMHHIpCEI\nk5DBdA4/Wd+Ju57YhT19SQBATSSID66ch49fsAiL2+uq3EPhREUmDUGYROzsGcFdT+zCT9bvxUi2\nAACYNyOOT1ywCB9eNR+N8XCVeyic6EzopEFE/wng3QC6lFKnm7ZmAD8GsAjALgBXKKX6Sbt9fAPA\nZQCSAD6hlNowkf0VhIlAKYXfb+vBnY/vxCNbur32805qxjWrO3DJqTMRFBWUMEmYaEnjewBuA/B9\n1vYFAL9TSn2ViL5gfv88gHcCWGJ+zgXwbfMpCNOCcokDI6EA3rdiDj5xQQdOm9NQ5R4KQikTOmko\npR4jokWjmi8HcJHZvgvAOuhJ43IA31c6ZP0pImoiotlKqQMT01tBGB9s4sAfPbMHg+k8AJc48Mpz\nFqClLlrlHgrC2EwGm8ZMNhEcBDDTbM8FsJcd12naSiYNIroOwHUAsGDBgvHrqSAcI0opPLurH3c+\nvhO/efkgiiZ7z4r5Tbhm9SJcdsZshIOSP1SY/EyGScNDKaWI6KiTYSml7gBwB6BzTx33jgnCMTJW\n4sD3LJ+NT1xQmjhQECY7k2HSOGTVTkQ0G0CXad8HYD47bp5pE4RJT9dgGj94ajfufmaPL3Hgx87V\niQNnNkjiQGFqMhkmjV8C+DiAr5rP+1j7DUR0D7QBPCH2DGGys3HvAO58fCd+vemAJA4UpiUT7XL7\nI2ijdysRdQL4EvRkcS8RXQtgN4ArzOEPQLvbbod2ub1mIvsqCJUiiQOFE4mJ9p66coxdf1TmWAXg\n+vHtkSAcOzZx4H89uRsHByVxoHBiMBnUU4IwpXj14CC+9/guSRwonJDI2y0IFTBW4sCLlrXhmtUd\nePPiVkkcKJwQyKQhCIdhMJ3Dvc/uxfef3O1LHPihs3TiwJPbJHGgcGIhk4YglOG17mHc9cQu/PS5\nTkkcKAgMmTQEwSCJAwXhyMikIZzwHC5x4DWrO3DqbEkcKAgWmTSEExZJHCgIR49MGsIJhVIKz+zs\nw/ee2OVLHHjmgiZcs7oD7zx9liQOFITDIJOGcEKQzhVw/8b9+N4Tu0oSB16zugMr5jdVuYeCMDWQ\nSUOYFtx66634zGc+U9JuEwf+8Ok96B3RiQNbaiO4ShIHCsIxIZOGMOXp7OzETTfdhCuuuAJz584F\nIIkDBWG8kElDmPKsWbMGiUQCt91+Oy74yA1lEwf+6eoOnCOJAwXhdSOThjDluPnmm/HAAw8gFtOq\npb2dnQCAW79zF279wf0AgEAxjwsuugR3fvOfJXGgIBxHSCeTnT6sWrVKrV+/vtrdEMaR/v5+XHjx\nJdj0woYxjzlz5Vl4+HcPoalJDNyCUAlE9JxSatWRjhNJQ5gSjGTyeGJHLx7d2oV1W7oxcOHnEDn4\nf5A9uK3k2FWrVmHt2rUyYQjCOCCThjApUUphe9cw1m3pxrqtXXh2Zz+yhaK3v7WlGe/6yn/gl/9w\nDfbvfs1rX7p0qUwYgjCOyKQhTBqGM3k8vr0H67Z047Gt3dg3kPL2EQEr5jfhomVtuGhZO86Y24gD\n+/fhv/8+iVAohI6ODuzcuRODg4MYGRmRSUMQxgmZNISqoZTClkNDWLelG49u6cb63X2eeyyg4yku\nXNqGC5e14S1L2jCjNuL7/m233YZCoYAbb7wRX/nKV/D3f//3uOuuu3D77bfjn/7pnyb6dgThhEAm\nDWFCGUrnPGni0a3dOJBIe/sCBJy1cAYuMhPF6XMaD1vYqKGhAWvXrsXy5csBALfccguuvvpqPPjg\ng+N+H4JwoiLeU8K4opTCKweGsM4YsDfs7ke+6N65tvqoliaWtuHNS1rRVBM5zNkEQRgvxHtKqBqJ\nVA5/2NaDdVu68OjWbnQNZbx9wQDh7EUzcNGydly4tA2nzW6QMqmCMIWQSUN43RSLCpsPDOLRrd1Y\nt6ULG/YMoMCkifb6qGfAXr24VareCcIURiYN4ZgYSGbx+23ONtEz7KSJUIBwbkezJ02cOrte0ncI\nwjRBJg2hIopFhZf2J7xJ4vk9/WDCBGY1xIw00YYLFreiISbShCBMR2TSEMakfySLx7Zpd9jHtnWj\nZzjr7QsHCecubPbUTktn1ok0IQgnADJpCB6FosKmfQms26I9nTZ2DoA7181tiuPCZdrTafXiVtRF\n5fURhBMN+as/wekdzuCxbd1Yt6Ubv9/Wg74RJ01EggGc09GMC5dqtdPidpEmBOFERyaNE4xCUeGF\nvQN4dGs3Ht3ShRf3JXzSxLwZca1yWtqO809uQa1IE4IgMOQ/wglA91AGj23txrqt3fj9tm4MJHPe\nvkgo4Hk6XbSsDSe11oo0IQjCmMikMQ3JF4p4Ye+AlyH2pX2Dvv0Lmms8T6fzTmpBTUReA0EQKkP+\nW0wTugbTOrhuazd+v7Ubg+m8ty8aCuC8k1o8T6eO1toq9lQQhKmMTBpTlFyhiOf3DHieTpsP+KWJ\njtZaz4B93kktiIWDVeqpIAjTCZk0phAHE2mvct0ftvdgiEkTsXAAF5zciouMS+zCFpEmBEE4/sik\nUSVuvfVWfOYznznsMblCEet39WPd1i48uqUbrx4c8u0/qa0WFy3VBuxzOppFmhAEYdyRSaMKdHZ2\n4qabbsIVV1yBuXPn+vbtH0h5if8e396L4YyTJmoiQVxwcgsuXNaOi5a2YX5zzUR3XRCEE5xJP2kQ\n0TsAfANAEMB/KKW+WuUuvW7WrFmDRCKBNWvW4Es3/QPW7+rDOjNRbD007Dt2SXudZ8BetWgGoiGR\nJgRBqB6TuggTEQUBbAVwKYBOAM8CuFIptXms70zGIkw333wzHnjgAcRiMQDA7r2d2PXaDjTMnI9c\ntAlFpaDyOcRPXoW5b70aqxe3euk65s0QaUIQhPFnuhRhOgfAdqXUawBARPcAuBzAmJPGZORTn/oU\n7r//fjz66KO+9sFDewHsBQDMXfIGfPebN+GtZ3QgEgpUoZeCIAhHZrJPGnNh/6tqOgGcO/ogIroO\nwHXm12Ei2jIBfTtaggCWAignOiT3bXt56ztWLi5McJ+mE60AeqrdiWmCjOXxZaqM58JKDprsk0ZF\nKKXuAHBHtftxNBDR+kpEQaEyZDyPHzKWx5fpNp6TXQ+yD8B89vs80yYIgiBUgck+aTwLYAkRdRBR\nBMBHAfyyyn0SBEE4YZnU6imlVJ6IbgDwG2ibwH8qpV6ucreOF1NKnTYFkPE8fshYHl+m1XhOapdb\nQRAEYXIx2dVTgiAIwiRCJg1BEAShYmTSmGCI6B1EtIWIthPRF6rdn6kOEf0nEXUR0UvV7stUh4jm\nE9EjRLSZiF4mok9Xu09TGSKKEdEzRLTRjOdN1e7T8UBsGhPIsaRFEQ4PEb0FwDCA7yulTq92f6Yy\nRDQbwGyl1AYiqgfwHID3yft5bJCum1yrlBomojCAPwD4tFLqqSp37XUhksbE4qVFUUplAdi0KMIx\nopR6DEBftfsxHVBKHVBKbTDbQwBegc7KIBwDSmMzkIbNz5RfpcukMbGUS4sif5TCpIOIFgE4E8DT\n1e3J1IaIgkT0AoAuAGuVUlN+PGXSEATBBxHVAfgZgBuVUoNHOl4YG6VUQSm1AjqbxTlENOVVqDJp\nTCySFkWY1Bjd+88A/FAp9fNq92e6oJQaAPAIgHdUuy+vF5k0JhZJiyJMWozh9rsAXlFKfa3a/Znq\nEFEbETWZ7Ti0A8yr1e3V60cmjQlEKZUHYNOivALg3mmUFqUqENGPADwJYBkRdRLRtdXu0xRmNYA/\nBnAxEb1gfi6rdqemMLMBPEJEL0IvGNcqpX5V5T69bsTlVhAEQagYkTQEQRCEipFJQxAEQagYmTQE\nQRCEipFJQxAEQagYmTQEQRCEipFJQ6gqRHQ6ESkiuoi1KVOxsdJzfI5//zj16yLTjykfwUtEXyai\nnipefxcR/Wu1ri8cX2TSECYj5wP4yVEc/zkAF41PVwRB4EzqGuHCiUk1U0ebqOhota4vCJMdkTSE\nCYWI/oKI9hLRCBHdDx01O/oYn3qKiN5ERL8nokHz8wIRfdjs2wWgBcCXzPeUUS0tMtvvHnXu7xHR\nevb7l4mox1zjWQBpAB9mX5lDRL8y/d1DRH826nznE9EvieiAOeYFIvrYqGM+YfpyBhGtNce9SkQf\nKHPv7zeFe1JE1EtEDxDRQrb/dCL6NRENmZ+fENGsigbff51mIrqDiA4RUZqIniCic9n+dURUIu0R\n0S1mHMj8HiOifzHPNGMKDkkU+TRGJg1hwiCiywHcDuBXAD4AYBOA/zzCdxrM8a8B+CCADwH4LwBN\n5pD3A0hA50w63/xsOMqu1QC4C8B/QCeUe4bt+y6AF01/HwDw7VET0UIAjwO4FsB7oJP93UlEV5a5\nzt3QucbeD2AbgHuIaB671z8G8HMAOwBcAeAa6KJdbWb/YnOtGICrAXwCwBsA3G//iVcCEUUBPATg\nEgB/DeB9ALoBPMQmoB8DuIyIatn3yPTrXuVSSfzU9OOfzP0/C+CXRLSi0v4IUwyllPzIz4T8QP8z\nfnBU279DF6a5iLUpADeY7VXm9/rDnLcHwJdHtS0y33v3qPbvAVjPfv+yOe7yUcddZNrvGNW+FsBT\nY/SDoFW+3wHwMGv/hDnXn7K2FgB5AH9mfg9AZzz++WHu878AbAEQYW1LABQAvOsw3/sygB72+7UA\nsgCWsLYQ9GR1i/m9zfTvo+yY8819rDK//5H5/cJR13sMwE/Y77sA/Gu13z/5OT4/ImkIEwIRhQCs\nBHDfqF1HSr+9A7qc691EdLnNGnqcUQAeHGPfL0b9/nMAZ5Eu3QsimkFE3ySi3QBy5uc6AEvLnOu3\n3gWV6oUuzGMljWUA5gC48zD9vMT0p0hEITOmO6H/Ka86zPfKnec5ADvZeQDgUXsepVQ3gIcBfIR9\n7yMAdiil1rPzHATwuD2POdfvjrI/whRCJg1homgFEIT+R8kZ/bsPpVQ/dErpMIB7AXQbnf5Jx7Fv\n/UqX3y1Huf6GoO8H0JLLRwDcAuBtAM6GVrnFypxrYNTvWXZci/k8cJh+tgL4PNzkZH9Ogr9Oy5Fo\nBXBemfNcM+o89wB4JxE1EFEA2tbz41HnmVXmPF8+yv4IUwjxnhImih5oNUr7qPbRv5egtDfVO0jX\nJLgEwNeg7QPnHeZrafMZGdU+o9wlDnOecv3NA+ghotj/b+/eXaOIojiOf4+NFkbBxiKCjRAFC0Gw\n0EKxUCSixn9AsPBZiRBMI1ooWIkgJIWICCHYREUCwRBIaeEiCIIBERNTiJjVRJNg0ByLcxfH2ck6\naxGJ/j4wbNi5ufMo7rmPs1zgIHDW3XtqBVID26zJ9FmXGJBRJUYatwrONfM7jCrwFDhdcO5r5u/7\nQDexj/0YMRLKBo0qMaV2pIlryzKnoCFLwt2/mdkzogHqyZyqyyBqUMccsei7FejKnMr22GveE73e\nLbUvLLYx3Uk0gGV18OvUVQdQcffvqb4VZBpaM2sBDtE4EBUZJRrgY8CjRcoMEwvfFU+LBX9omBgV\njbv7oiM9d/9oZo+JkdQYsTnT81w954Ev7r7sNxeSchQ0ZCldBfrNrJvoxe7mN9tfmlk7cBx4AIwD\nrcBJYr695iXQbmaDxPrHqLt/NrOHwLm03vCJaODmmrznA2Z2hZjvP0pMlR0GcPeplKZ70cymgQXg\nApHNtaaZi7j7gpl1Ar1m1gv0EYFnL9CX1hEuEckEA2Z2mxhdtKZ7uuPuIyUvdxc4BYykX2q/JqbH\ndgDv3P16puw9YrptCriZq2eI2FBsyMyuAS/Sc28DVrl7F/Lv+dsr8Tr+r4PYuXACmCVSWPfROHuq\njUjrfEv06CeIkcq6TPntwBNgJlsXsJ5YeJ8mesonKM6e+lBwn3tSXfuJkcZsuvaZXLlNRI97hghq\nnfk6+Zk9tTr3v2/IZRURgalCTK9NAgPAxsz5zel9VIkA+IrI1trQ4J3XPSOwFriR3ut8erZ+YFeu\nXEt6dgfaCupeCVxO9zFPLIwPksnmKnpOHcv30M59IiJSmrKnRESkNAUNEREpTUFDRERKU9AQEZHS\nFDRERKQ0BQ0RESlNQUNEREpT0BARkdJ+AI7e0cWGSVZ0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f607a53d0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Er = vis.Experiment_reader()\n",
    "pth = \"out/blur\"\n",
    "Er.set_path(pth)\n",
    "Er.read_all_expriemts()\n",
    "ank=1.0/8\n",
    "ul = Er.get_data(\"Inc\")['blur_001'][0].max()\n",
    "def fd(x):\n",
    "    return ul-x\n",
    "Er.print_param_description(0)\n",
    "ank=1.0/8\n",
    "Er.annotated_plot2(0,'Inc', zoom=0.8, pad=0, max_hight=3, xybox=None, fd=fd,\n",
    "                   figposx=[ank,3*ank,5*ank,7*ank], figposy=[fiy,fiy,fiy,fiy], xlim=[-0.5,3.5], ylim=[0,16],\n",
    "                  ylabel=\"IND\", add_points=True) #n_datapoints=4)\n",
    "Er.annotated_plot2(0,'Fid', zoom=0.8, pad=0, max_hight=300, xybox=None,\n",
    "                   figposx=[ank,3*ank,5*ank,7*ank], figposy=[fiy,fiy,fiy,fiy], xlim=[-0.5,3.5], ylim=[0,500], ylabel=\"FID\", add_points=True)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rect_001: {'alpha': 0.0}\n",
      "# DEBUG:::len(data) = 4\n",
      "# DEBUG:::len(imgs) = 4\n",
      "# DEBUG:::len(data) = 4\n",
      "# DEBUG:::len(data) = 4\n",
      "# DEBUG:::mi-0.1*r = -0.884866857529\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f607a52f4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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cs2dPt4/9Y50OAQ4XTpeRurKTn7rq9pQZMoG6Z38tAODAQR1yq5womzQGwlqf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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f607a5146d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# DEBUG:::len(data) = 4\n",
      "# DEBUG:::len(imgs) = 4\n",
      "# DEBUG:::len(data) = 4\n",
      "# DEBUG:::len(data) = 4\n",
      "# DEBUG:::mi-0.1*r = -22.0744677039\n"
     ]
    },
    {
     "data": {
      "image/png": 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dQZnz1WveAGDClCAtscgX59uy047EK0v96te5c2yRv+eXrQBgb4svsFdWYd8j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\nf9X3jCI/oSzsAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f607a4bbeb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Er = vis.Experiment_reader()\n",
    "pth = \"out/rect\"\n",
    "Er.set_path(pth)\n",
    "Er.read_all_expriemts()\n",
    "ank=1.0/8\n",
    "ul = Er.get_data(\"Inc\")['rect_001'][0].max()\n",
    "def fd(x):\n",
    "    return ul-x\n",
    "Er.print_param_description(0)\n",
    "ank=1.0/8\n",
    "Er.annotated_plot2(0,'Inc', zoom=0.8, pad=0, max_hight=3, xybox=None, fd=fd,\n",
    "                   figposx=[ank,3*ank,5*ank,7*ank], figposy=[fiy,fiy,fiy,fiy], xlim=[-0.5,3.5], ylim=[0,16],\n",
    "                  ylabel=\"IND\", add_points=True)\n",
    "Er.annotated_plot2(0,'Fid', zoom=0.8, pad=0, max_hight=300, xybox=None,\n",
    "                   figposx=[ank,3*ank,5*ank,7*ank], figposy=[fiy,fiy,fiy,fiy], xlim=[-0.5,3.5], ylim=[0,400], ylabel=\"FID\", add_points=True)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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